Takayoshi Suganami

12.3k citations
121 papers · 9.6k indexed · 3 hit papers · h-index 54
Topics
Adipose Tissue and Metabolism (34 papers)Adipokines, Inflammation, and Metabolic Diseases (32 papers)Liver Disease Diagnosis and Treatment (19 papers)

In The Last Decade

Takayoshi Suganami

120 papers receiving 9.4k citations

Hit Papers

A Paracrine Loop Between Adipocytes and Macrophages Aggra...2005202620122019200520052006250500750

Peers

Takayoshi Suganami
Comparison fields: 5 of 127
  • Epidemiology 3.3k
  • Molecular Biology 3.0k
  • Physiology 2.5k
  • Immunology 1.2k
  • Nephrology 1.2k
Replace Massimo Federici with:
Massimo Federici Italy
Takeshi Horio Japan
Jian‐Mei Li China
Peter R. Kvietys United States
Marc Foretz France
János G. Filep Canada
Myung‐Shik Lee South Korea
Kazuhisa Maeda Japan
Ronald J. Korthuis United States
Naoto Kubota Japan
Takayoshi Suganami relative to Massimo Federici Italy Massimo Federici's profile →
Citations per field
00.5×4.2×
Massimo Federici · 1×
Citations per year

Countries citing papers authored by Takayoshi Suganami

Since Specialization
Citations

This map shows the geographic impact of Takayoshi Suganami's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takayoshi Suganami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Suganami more than expected).

Fields of papers citing papers by Takayoshi Suganami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takayoshi Suganami. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takayoshi Suganami. The network helps show where Takayoshi Suganami may publish in the future.

Co-authorship network of co-authors of Takayoshi Suganami

This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Suganami. A scholar is included among the top collaborators of Takayoshi Suganami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takayoshi Suganami. Takayoshi Suganami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 24
3 20
4 10
5 19
6 26
7 15
8 49
9 19
10 66
11 110
12 16
13 14
14 51
15 3
16 73
17 108
18 132
19 98
20 53

About Takayoshi Suganami

Takayoshi Suganami is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Physiology, having authored 121 papers that have together received 9.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (32 papers) and Liver Disease Diagnosis and Treatment (19 papers). The work is most often cited by research in Nephrology (1.2k citations), Endocrine and Autonomic Systems (679 citations) and Physiology (2.5k citations). Takayoshi Suganami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshihiro Ogawa, Junko Nishida, Miyako Tanaka, Michiko Itoh, Yasutomi Kamei, Masashi Mukoyama, Kiyoshi Mori, Akira Sugawara, Kazuwa Nakao and Seiichiro Aoe. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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